PhD in Bioinformatics

Institut de Biologie de l'École Normale Supérieure (top French institution), Paris, France

I developed a DNA-sequence data analysis pipeline to study protein-RNA interactions on a large scale.

• Use bash to pre-process raw sequencing data.
• Use Python to quantify and manipulate the signal with pandas & numpy.
• Use statsmodel and scikit-learn to perform statistical testing and data modeling.
• Use seaborn & matplotlib to visualize data.
• Use Jupyter notebooks to write reproducible and explanatory code.
• Research, analyze, and summarize scientific literature to know the state of the art.
• Design slides and give oral presentations on a regular basis.
• Structure and write thesis manuscript, scientific reports, and presentations.
• Collaborate with team members to define week-to-week objectives.

Science communicator

Aquarium de la Porte Dorée & Palais de la Découverte (Science museum), Paris, France

I created and presented 1-hour talks about machine learning, genetics, and fish respiratory systems for the general public.

Master's degree Bioinformatics II

Paris-Saclay University, France

Multidisciplinary training in biology, computer science and mathematics to meet the needs of R&D.

Master's degree Bioinformatics I

Poitiers University, France

Training in design and development of software tools applied to R&D projects.

Biochemistry and molecular biology

Rovira i Virgili Universiy, Tarragona, Spain

Bachelor's degree in the fundamentals of biochemistry, molecular biology, genetics, bioinformatics, statistics, metabolism, and clinical biomarkers.